Artificial intelligence is intelligence exhibited by machines but human intelligence is displayed by the cognitive abilities of humans such as problem-solving, learning, and creativity.
There are several key differences between artificial and human intelligence. One major difference is that artificial intelligence can be programmed, while human intelligence is largely instinctual. Additionally artificial intelligence can be improved through learning and experience while human intelligence is fixed at birth.
Artificial intelligence can also process data much faster than humans can and it can work tirelessly for extended periods of time. However artificial intelligence is limited in its ability to think ideally and creatively and it cannot communicate or empathise with humans.
Ultimately artificial intelligence is best eligible for tasks that are routine, predictable, and data-driven while human intelligence is better suited for tasks that require creativity, simple thinking, and communication.
What is Artificial Intelligence And Explain?
If you ask anyone what Artificial Intelligence is, you will get a variety of answers. The simplest answer is that Artificial Intelligence is a way of making a computer do things that ordinarily require human intelligence such as understanding natural language and recognising objects.
The origins of Artificial Intelligence go back to the beginnings of computing when Alan Turing published the paper “Computing Machinery and Intelligence” in 1950. In the paper Turing proposed the so-called “Turing test” to decide whether a computer could be said to be intelligent.
The Turing test works like this: a human judge interacts with two other participants, one of which is a computer and the other is a human. The judge is not told which of the other participants is the computer. The judge is then asked to identify which of the other participants is the computer.
If the judge is unable to identify the computer then it is said that the computer has passed the Turing test and is considered to be intelligent.
Although the Turing test is still discussed today it is not considered to be a reliable measure of intelligence. There are a number of reasons for this including the fact that the test relies on the ability of the computer to fool the human judge which is not always easy to do.
There are a number of different areas of research that fall under the umbrella of Artificial Intelligence. These include computer vision, natural language processing, machine learning and robotics.
Computer vision is the ability of a computer to interpret and understand digital images. This includes tasks such as recognised objects in a picture and determining the orientation of the objects in the picture.
Natural language processing is the ability of a computer to understand and interpret human language. This includes tasks such as understanding sentence structure and identifying the Intent of a sentence.
Machine learning is the ability of a computer to learn from data. This includes tasks such as identifying patterns in data and learning to make predictions based on the data.
Robotics is the study of how to build robots that can interact with the real world. This includes tasks such as building robots that can move around and interact with humans.
There are a number of benefits to Artificial Intelligence. One of the most important benefits is that it can help us to automate repetitive tasks. For example, if you have a job that involves doing the same thing over and over again , a computer can be programmed to do that job for you.
Conclusion
Humans have the Capability to learn from past experiences, generalise and apply that knowledge to future situations. Artificial intelligence can only do what it is programmed to do and cannot make any changes.
Eugenia Kyriakos, a tech enthusiast and content writer based in the United States, currently calling San Francisco my home. With a passion for unraveling the wonders of technology, my journey as a content creator began from a love for storytelling and a fascination with the dynamic tech landscape.
